Charlie Hou - RankMe

14 papers A* 4Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Characterizing the Training Dynamics of Private Fine-tuning with Langevin diffusion. Trans. Mach. Learn. Res. Shuqi Ke, Charlie Hou, Sewoong Oh, Giulia Fanti
2025	A*	`conf`	Private Federated Learning using Preference-Optimized Synthetic Data. ICML Charlie Hou, Mei-Yu Wang, Yige Zhu, Daniel Lazar, Giulia Fanti
2025	J	`jnl`	Private Federated Learning using Preference-Optimized Synthetic Data. CoRR Charlie Hou, Mei-Yu Wang, Yige Zhu, Daniel Lazar, Giulia Fanti
2024	J	`jnl`	On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune? CoRR Shuqi Ke, Charlie Hou, Giulia Fanti, Sewoong Oh
2024	A*	`conf`	PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs. ICML Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar
2024	J	`jnl`	PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs. CoRR Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar
2024	J	`jnl`	Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity. Trans. Mach. Learn. Res. Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi
2023	J	`jnl`	Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity. CoRR Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi
2023	J	`jnl`	Privately Customizing Prefinetuning to Better Match User Data in Federated Learning. CoRR Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar
2022	A*	`conf`	FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning. ICLR Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
2021	J	`jnl`	Efficient Algorithms for Federated Saddle Point Optimization. CoRR Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
2021	J	`jnl`	Reducing the Communication Cost of Federated Learning through Multistage Optimization. CoRR Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
2021	A*	`conf`	SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning. NDSS Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramèr, Giulia Fanti, Ari Juels
2019	J	`jnl`	SquirRL: Automating Attack Discovery on Blockchain Incentive Mechanisms with Deep Reinforcement Learning. CoRR Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramèr, Giulia Fanti, Ari Juels